Detection and Modeling Vibrational Behavior of a Gas Turbine Based on Dynamic Neural Networks Approach
Journal Title: Strojnicky casopis - Journal of Mechanical Engineering - Year 2018, Vol 68, Issue 3
Abstract
During the gas turbine exploitation the presence of small defects can cause very high vibration amplifications, localized on the components of this rotating machine. For this, a diagnostic process is necessary for decision-making during the monitoring of failures caused by vibration phenomena, which consists in observing the system by comparing its current data with the data coming from a normal operation. These indicators help engineer to determine the symptoms for the failing components of the system. This work deals with problems related to these vibrations, with the aim of developing a system of detection of failures using dynamic neural networks approach. The originality of this contribution is to calculate the various alarms based on this system which used the determined vibration models in order to ensure a reliable and safe operation of the gas compression installation using the examined gas turbine.
Authors and Affiliations
Mohamed Benrahmoune, Hafaifa Ahmed, Guemana Mouloud and Chen XiaoQi
Keywords
Related Articles
- EP ID EP43954
- DOI https://doi.org/10.2478/scjme-2018-0032
- Views 226
- Downloads 0
Thermo-Hydraulic Behaviour of Coolant in Nuclear Reactor VVER-440 Under Refuelling Conditions
The paper presents the numerical simulation of thermo-hydraulic behaviour of coolant in the VVER- 440 nuclear reactor under standard outage conditions. Heating-up and flow of coolant between the reactor pressure vessel...
Rooppur Nuclear Power Plant: Current Status & Feasibility
In the present world, nuclear energy is a must need for various purposes. The main cause of nuclear energy is because of the increasing energy demand, which is not possible to provide by using convenient energy generat...
A Closed-Form Buckling Formula for Open-Coiled and Properly Supported Circular-Bar Helical Springs
As a continuation of the author’s previous studies on the buckling analysis of helical springs, a closedform formula having been obtained with the help of the artificial neural network (ANN) is proposed and discussed in...
Effect of Dry Friction on Bifurcation Diagram of Furuta Pendulum
Traditionally, the Furuta pendulum was used for testing advanced control strategies on a simple nonlinear and underactuated structure. In this paper, we investigate analytically and experimentally the dynamical descrip...
Frequency Response Function Measurement on Simplified Disc Brake Model
The paper describes role of non-proportional damping in flutter type instability, demonstrated on simplified disc brake model. The discrete two degrees of freedom system is considered to imply damping induced instabili...